Application of LSTM based on the BAT-MCS for binary-state network approximated time-dependent reliability problems

•Propose the time-series reliability of the binary-state network problem.•Propose the first deep-learning algorithm to solve the problem.•The first algorithm combined the exact-algorithm and approximated-reliability algorithm for the problem.•The propose algorithm is based on LSTM, BAT, and MCS.•Val...

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Bibliographic Details

Published in:	Reliability engineering & system safety Vol. 235; p. 108954
Main Authors:	Yeh, Wei-Chang, Du, Chia-Ming, Tan, Shi-Yi, Forghani-elahabad, Majid
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.07.2023
Subjects:	Binary-addition-tree algorithm (BAT) Binary-state network reliability Long short-term memory (LSTM) Monte carlo simulation (MCS) Statistical characteristics Binary-addition-tree algorithm (BAT) Statistical characteristics Binary-state network reliability Long short-term memory (LSTM) Monte carlo simulation (MCS)
ISSN:	0951-8320, 1879-0836
Online Access:	Get full text
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